{"id":"https://openalex.org/W4392384868","doi":"https://doi.org/10.1145/3616855.3635809","title":"C\u00b2DR: Robust Cross-Domain Recommendation based on Causal Disentanglement","display_name":"C\u00b2DR: Robust Cross-Domain Recommendation based on Causal Disentanglement","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392384868","doi":"https://doi.org/10.1145/3616855.3635809"},"language":"en","primary_location":{"id":"doi:10.1145/3616855.3635809","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3635809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090734254","display_name":"Menglin Kong","orcid":"https://orcid.org/0009-0007-9498-693X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kong Menglin","raw_affiliation_strings":["School of Mathematics and Statistics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0007-9498-693X","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404643","display_name":"Jia Wang","orcid":"https://orcid.org/0000-0002-3165-7051"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Wang","raw_affiliation_strings":["School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3165-7051","affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yushan Pan","orcid":"https://orcid.org/0000-0002-3025-9609"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushan Pan","raw_affiliation_strings":["School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3025-9609","affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haiyang Zhang","orcid":"https://orcid.org/0000-0002-6877-3937"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Zhang","raw_affiliation_strings":["School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6877-3937","affiliations":[{"raw_affiliation_string":"School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035628681","display_name":"Muzhou Hou","orcid":"https://orcid.org/0000-0002-6299-8887"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muzhou Hou","raw_affiliation_strings":["School of Mathematics and Statistics, Central South Uinversity, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6299-8887","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Central South Uinversity, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.343,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.98055081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7517040371894836},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6871898174285889},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6239145398139954},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5438786149024963},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5187000036239624},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.4482175409793854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4152413010597229},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39528119564056396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38731029629707336},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3326031565666199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12748968601226807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7517040371894836},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6871898174285889},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6239145398139954},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5438786149024963},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.4482175409793854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4152413010597229},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39528119564056396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38731029629707336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3326031565666199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12748968601226807},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616855.3635809","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3635809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2510010388","https://openalex.org/W2723293840","https://openalex.org/W2796608345","https://openalex.org/W2904156528","https://openalex.org/W2963877604","https://openalex.org/W3080918539","https://openalex.org/W3094280243","https://openalex.org/W3097679710","https://openalex.org/W3098400049","https://openalex.org/W3153189161","https://openalex.org/W3156939347","https://openalex.org/W3170713142","https://openalex.org/W3188301284","https://openalex.org/W3200686557","https://openalex.org/W3206992626","https://openalex.org/W3209185641","https://openalex.org/W4226072877","https://openalex.org/W4283009651","https://openalex.org/W4285727734","https://openalex.org/W4290876156","https://openalex.org/W4299515571","https://openalex.org/W4313410623"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2787993192","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664","https://openalex.org/W4281727072"],"abstract_inverted_index":{"Cross-domain":[0],"recommendation":[1,121,174],"aims":[2],"to":[3,7,16,37,69,111,139],"leverage":[4],"heterogeneous":[5],"information":[6,66,79,128],"transfers":[8],"knowledge":[9],"from":[10,59,101],"a":[11,17,34,92,102,108],"data-sufficient":[12],"domain":[13,19,48,62],"(source":[14],"domain)":[15],"data-scarce":[18],"(target":[20],"domain).":[21],"Existing":[22],"approaches":[23],"mainly":[24],"focus":[25],"on":[26,51,118,185],"learning":[27],"single-domain":[28],"user":[29,40],"preferences":[30,50,58,100],"and":[31,77,98,126,163],"then":[32],"employ":[33],"transferring":[35],"module":[36],"obtain":[38],"cross-domain":[39],"preferences,":[41],"but":[42],"ignore":[43],"the":[44,60,70,82,113,119,144,149,153,170,173,178],"modeling":[45],"of":[46,143,165,172,180],"users'":[47],"specific":[49],"items.":[52],"We":[53,176],"argue":[54],"that":[55,67,95,147],"incorporating":[56],"domain-specific":[57,78,99,127],"source":[61],"will":[63],"introduce":[64,135],"irrelevant":[65,131],"fails":[68],"target":[71,83],"domain.":[72],"Additionally,":[73],"directly":[74],"combining":[75],"domain-shared":[76,97,125,166],"may":[80],"hinder":[81],"domain's":[84],"performance.":[85],"To":[86],"this":[87],"end,":[88],"we":[89,106,134],"propose":[90],"C^2DR,":[91],"novel":[93],"approach":[94],"disentangles":[96],"causal":[103,109,115,130,145,154],"perspective.":[104],"Specifically,":[105],"formulate":[107],"graph":[110],"capture":[112],"critical":[114],"relationships":[116],"based":[117],"underlying":[120],"process,":[122],"explicitly":[123],"identifying":[124],"as":[129],"variables.":[132],"Then,":[133],"disentanglement":[136],"regularization":[137],"terms":[138],"learn":[140],"distinct":[141],"representations":[142],"variables":[146],"obey":[148],"independence":[150],"constraints":[151],"in":[152],"graph.":[155],"Remarkably,":[156],"our":[157],"proposed":[158],"method":[159],"enables":[160],"effective":[161],"intervention":[162],"transfer":[164],"information,":[167],"thereby":[168],"improving":[169],"robustness":[171],"model.":[175],"evaluate":[177],"efficacy":[179],"C^2DR":[181],"through":[182],"extensive":[183],"experiments":[184],"three":[186],"real-world":[187],"datasets,":[188],"demonstrating":[189],"significant":[190],"improvements":[191],"over":[192],"state-of-the-art":[193],"baselines.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}